This class represents a JMS distributed destination, which is comprised of multiple
physical JMS destinations (topics or queues) as members of a single distributed set of
destinations that can be served by multiple WebLogic Server instances within a cluster.

Deprecation of MBeanHome and
Type-Safe Interfaces

This is a type-safe interface for a
WebLogic Server MBean, which you can import into your client
classes and access through
weblogic.management.MBeanHome. As of 9.0, the
MBeanHome interface and all type-safe interfaces for
WebLogic Server MBeans are deprecated. Instead, client classes that
interact with WebLogic Server MBeans should use standard JMX design
patterns in which clients use the
javax.management.MBeanServerConnection interface to
discover MBeans, attributes, and attribute types at runtime. For
more information, see "Developing Manageable Applications with JMX."

getLoadBalancingPolicy()Deprecated. Defines the load balancing policy for producers sending messages
to a distributed destination in order to balance the message load
across the members of the distributed set.

getLoadBalancingPolicy

Defines the load balancing policy for producers sending messages
to a distributed destination in order to balance the message load
across the members of the distributed set.

Round-Robin

- The system maintains an ordering of physical topic members
within the set by distributing the messaging load across the topic
members one at a time in the order that they are defined in the
configuration file. Each WebLogic Server maintains an identical
ordering, but may be at a different point within the ordering. If
weights are assigned to any of the topic members in the set, then
those members appear multiple times in the ordering.

Random

- The weight assigned to the topic members is used to compute a
weighted distribution for the members of the set. The messaging
load is distributed across the topic members by pseudo-randomly
accessing the distribution. In the short run, the load will not be
directly proportional to the weight. In the long run, the
distribution will approach the limit of the distribution. A pure
random distribution can be achieved by setting all the weights to
the same value, which is typically set to 1.

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